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healthcare technology trends

Top Healthcare Technology Trends: Innovations Shaping the Industry

Global healthcare spending is projected to grow by 5.6% annually between 2023 and 2034. From AI diagnostics that detect diseases faster than ever to telemedicine platforms breaking down barriers to access, the integration of cutting-edge technology is transforming the healthcare sector. With the healthcare IT market expected to surpass $981 billion by 2032, the momentum behind these advancements is undeniable.

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AI Liability in Software Development Projects

Understand AI liability and its impact on software development, focusing on risk-based assessments, proportional responsibility, and regulatory compliance.

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Medtech startups singapore 2025

MedTech Startups from Singapore to Watch in 2025

AI is transforming how developers write, test, and optimize code and is steadily gaining more autonomy. For example, some of the first tools, like GitHub Copilot, are capable of completing basic coding tasks. While not fully autonomous, Copilot does help programmers speed up their work and reduce repetitive tasks.

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4 AI-Powered Text2SQL Solutions: A Comparative Analysis

Explore top Text2SQL AI tools like Vanna.AI, MindsDB, WrenAI and DB-GPT. Compare features, strengths, and gaps to find the best SQL AI solution for your business.

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Is Your Business Ready for AI? A Guide to Assessing AI Readiness

AI readiness is more than hype. It’s a mindset, strategy, and shift that ensures AI drives results, not just experiments. Learn how to prepare.

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AI leadership

Why AI Needs Strong Leadership to Succeed

Artificial Intelligence holds immense potential, but true success requires more than technology—it demands strategic leadership.

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AI in Contact Centers: The Secret to Increasing Efficiency

Using AI in the contact center isn’t new, but the recent advances in AI-powered contact center solutions using LLMs have changed what’s possible and how it’s done.

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ai in medical imaging

AI in Medical Imaging: A Guide to Finding the Right Software Developer

AI in medical imaging leverages machine learning, natural language processing, and optical character recognition, among other advanced technologies, to automate processes once reliant on human expertise. As AI medical imaging solutions are trained on vast datasets of X-rays, CT scans, MRIs, and ultrasounds, they are able to identify patterns, detect abnormalities, and provide actionable insights.

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web development consulting

Singapore’s Healthcare Transformation with AI Adoption and Opportunities

Singapore is leading the way in AI-driven healthcare, tackling demographic challenges with innovative, citizen-focused solutions.

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Scopic is more than a trusted development and marketing partner: we are here to guide and support you in your journey.